The relationship between cost estimates reliability and BIM adoption: SEM analysis

3rd International Conference on Research Methodology for Built Environment and Engineering 2017

生态环境科学

Ismail, N.A.A.^1 ; Idris, N.H.^1 ; Ramli, H.^1 ; Muhammad Rooshdi, R R Raja^1 ; Sahamir, S.R.^1

Faculty of Architecture, Planning and Survey, Universiti Teknologi MARA, Shah Alam, Malaysia^1

关键词: BIM technologies;    Building Information Modelling;    Confirmatory factor analyses (CFA);    Questionnaire surveys;    Reliability factor;    Structural equation modelling (SEM);    Structural modeling;    Technology adoption;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/117/1/012045/pdf
DOI  :  10.1088/1755-1315/117/1/012045

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

This paper presents the usage of Structural Equation Modelling (SEM) approach in analysing the effects of Building Information Modelling (BIM) technology adoption in improving the reliability of cost estimates. Based on the questionnaire survey results, SEM analysis using SPSS-AMOS application examined the relationships between BIM-improved information and cost estimates reliability factors, leading to BIM technology adoption. Six hypotheses were established prior to SEM analysis employing two types of SEM models, namely the Confirmatory Factor Analysis (CFA) model and full structural model. The SEM models were then validated through the assessment on their uni-dimensionality, validity, reliability, and fitness index, in line with the hypotheses tested. The final SEM model fit measures are: P-value=0.000, RMSEA=0.0790.90, TLI=0.956>0.90, NFI=0.935>0.90 and ChiSq/df=2.259; indicating that the overall index values achieved the required level of model fitness. The model supports all the hypotheses evaluated, confirming that all relationship exists amongst the constructs are positive and significant. Ultimately, the analysis verified that most of the respondents foresee better understanding of project input information through BIM visualization, its reliable database and coordinated data, in developing more reliable cost estimates. They also perceive to accelerate their cost estimating task through BIM adoption.